Man-Machine Interaction Reliability Modeling Method Based on Markov Model

The development of man-machine system poses a challenge to human’s information processing ability. Therefore, the human cognitive characteristics and the dynamic man-machine interaction (MMI) become the focus of the MMI research. This study takes the MMI process of complex system as the research object. According to multi-task and time-pressure scenarios, two kinds of MMI fault modes such as cognitive overload and cognitive confusion are proposed. In addition, this paper studies their failure mechanism and the uncertainty of MMI logic. And then a modeling method of the two faults based on Markov model are proposed. The corresponding quantitative calculation methods to complete the modeling and prediction of MMI reliability are introduced. At last, a case application proves the rationality and feasibility of the method.